A method to standardize quantification of left atrial scar from delayed-enhancement MR images

Rashed Karim, Aruna Arujuna, Richard James Housden, Jaspal Gill, Hannah Cliffe, Kavir Matharu, Jaswinder Gill, Christopher Aldo Rindaldi, Mark O'Neill, Daniel Rueckert, Reza Razavi, Tobias Schaeffter, Kawal Rhode

Research output: Contribution to journalArticlepeer-review

26 Scopus citations


Delayed-enhancement magnetic resonance imaging (DE-MRI) is an effective technique for detecting left atrial (LA) fibrosis both pre and postradiofrequency ablation for the treatment of atrial fibrillation. Fixed thresholding models are frequently utilized clinically to segment and quantify scar in DE-MRI due to their simplicity. These methods fail to provide a standardized quantification due to interobserver variability. Quantification of scar can be used as an endpoint in clinical studies and therefore standardization is important. In this paper, we propose a segmentation algorithm for LA fibrosis quantification and investigate its performance. The algorithm was validated using numerical phantoms and 15 clinical data sets from patients undergoing LA ablation. We demonstrate that the approach produces good concordance with expert manual delineations. The method offers a standardized quantification technique for evaluation and interpretation of DE-MRI scans.

Original languageEnglish
Article number1800615
JournalIEEE Journal of Translational Engineering in Health and Medicine
Issue number1
StatePublished - 2014
Externally publishedYes


  • Adaptation models
  • Biomedical imaging
  • Blood
  • Image segmentation
  • Magnetic resonance imaging
  • Myocardium
  • Training


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